Show HN: Clarity, See what concepts your LLM uses and trace it to training data (www.guidelabs.ai)

Clarity, the first inherently interpretable AI platform, has been launched as a research preview, offering groundbreaking functionalities powered by the Steerling 8B model. Unlike traditional AI systems that operate as black boxes, Clarity allows users to see the human-understandable concepts the model uses for reasoning, along with the training data that influences its output. These capabilities include concept explanations that provide insight into the model's thinking, training data attribution that links outputs to relevant training examples, and a unique steering feature enabling users to amplify or suppress specific concepts without altering prompts. This launch is significant for the AI/ML community as it addresses the critical issue of interpretability in AI models, empowering users to trace outputs back to their origins and enhance model alignment with human values. The ability to adjust outputs by controlling concepts can help mitigate biases in AI responses, making Clarity a valuable tool for applications such as hiring processes. With plans for future enhancements, including input attribution, Clarity sets a new standard for transparency in AI, paving the way for more responsible and accountable AI development.